Article: Construction of interactive narrative in children's drama driven by generative adversarial networks Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.30 pp.1 - 23 Abstract: Children's drama is an important way to help kids learn to express themselves through language. The classic interactive story style has problems, though, like having fixed content and not being able to personalise it. This study proposes a generative adversarial network (GAN)-driven interactive narrative system for children's drama. First, we combine data from multiple sources to get a better understanding of emotion and meaning. Next, we use GAN to dynamically create the play's content to make sure the story structure makes sense and fits the mood. Finally, we make sure the system is responsive, and the user experience is good by improving the way people interact with it. The experimental results indicate that the approach achieves scores of 0.87 and 0.82 in logical coherence and emotional accuracy, respectively. This substantially enhances children's engagement and emotional resonance, demonstrating considerable practical usefulness and promotional potential. Inderscience Publishers - linking academia, business and industry through research

Title: Construction of interactive narrative in children's drama driven by generative adversarial networks

Authors: Zhuo Cai; Keshuang Liu

Addresses: School of Music and Dance, Changsha Normal University, Changsha, 410100, China ' School of Music and Dance, Changsha Normal University, Changsha, 410100, China

Abstract: Children's drama is an important way to help kids learn to express themselves through language. The classic interactive story style has problems, though, like having fixed content and not being able to personalise it. This study proposes a generative adversarial network (GAN)-driven interactive narrative system for children's drama. First, we combine data from multiple sources to get a better understanding of emotion and meaning. Next, we use GAN to dynamically create the play's content to make sure the story structure makes sense and fits the mood. Finally, we make sure the system is responsive, and the user experience is good by improving the way people interact with it. The experimental results indicate that the approach achieves scores of 0.87 and 0.82 in logical coherence and emotional accuracy, respectively. This substantially enhances children's engagement and emotional resonance, demonstrating considerable practical usefulness and promotional potential.

Keywords: generative adversarial network; GAN; children's drama; interactive narrative; multimodal interaction.

DOI: 10.1504/IJICT.2026.152655

International Journal of Information and Communication Technology, 2026 Vol.27 No.30, pp.1 - 23

Received: 21 Aug 2025
Accepted: 29 Nov 2025
Published online: 01 Apr 2026 *

Title: Construction of interactive narrative in children's drama driven by generative adversarial networks

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